Multimedia Tools and Applications

, Volume 76, Issue 3, pp 3669–3697 | Cite as

A blind medical image watermarking: DWT-SVD based robust and secure approach for telemedicine applications

Article

Abstract

In this paper, a blind image watermarking scheme based on discrete wavelet transform (DWT) and singular value decomposition (SVD) is proposed. In this scheme, DWT is applied on ROI (region of interest) of the medical image to get different frequency subbands of its wavelet decomposition. On the low frequency subband LL of the ROI, block-SVD is applied to get different singular matrices. A pair of elements with similar values is identified from the left singular value matrix of these selected blocks. The values of these pairs are modified using certain threshold to embed a bit of watermark content. Appropriate threshold is chosen to achieve the imperceptibility and robustness of medical image and watermark contents respectively. For authentication and identification of original medical image, one watermark image (logo) and other text watermark have been used. The watermark image provides authentication whereas the text data represents electronic patient record (EPR) for identification. At receiving end, blind recovery of both watermark contents is performed by a similar comparison scheme used during the embedding process. The proposed algorithm is applied on various groups of medical images like X-ray, CT scan and mammography. This scheme offers better visibility of watermarked image and recovery of watermark content due to DWT-SVD combination. Moreover, use of Hamming error correcting code (ECC) on EPR text bits reduces the BER and thus provides better recovery of EPR. The performance of proposed algorithm with EPR data coding by Hamming code is compared with the BCH error correcting code and it is found that later one perform better. A result analysis shows that imperceptibility of watermarked image is better as PSNR is above 43 dB and WPSNR is above 52 dB for all set of images. In addition, robustness of the scheme is better than existing scheme for similar set of medical images in terms of normalized correlation coefficient (NCC) and bit-error-rate (BER). An analysis is also carried out to verify the performance of the proposed scheme for different size of watermark contents (image and EPR data). It is observed from analysis that the proposed scheme is also appropriate for watermarking of color image. Using proposed scheme, watermark contents are extracted successfully under various noise attacks like JPEG compression, filtering, Gaussian noise, Salt and pepper noise, cropping, filtering and rotation. Performance comparison of proposed scheme with existing schemes shows proposed scheme has better robustness against different types of attacks. Moreover, the proposed scheme is also robust under set of benchmark attacks known as checkmark attacks.

Keywords

Blind watermarking Image and text watermarking Medical image security Electronic patient record (EPR) Error correcting code 

References

  1. 1.
    Bansal R, Sehgal P, Bedi P (2012) Securing fingerprint images using PSO-based wavelet domain watermarking. Information Security Journal: A Global Perspective 21:88-101. doi:10.1080/19393555.2011.642066 Google Scholar
  2. 2.
    Chen G, Chen Q, Dong Z, Chen Y (2013) A watermarking scheme based on compressive sensing and Bregman iteration. Int J Comput Appl 35(4):173-180. doi:10.2316/Journal.202.2013.4.202-3844 MathSciNetGoogle Scholar
  3. 3.
    Inamdar VS, Rege PP (2012) Dual watermarking technique with multiple biometric watermarks. Sadhana-Acad P Eng S. 39(1):3-26CrossRefGoogle Scholar
  4. 4.
    Kalra GS, Talwar R, Sadawati H (2014) Adaptive digital image watermarking for color images in frequency domain. Multimed Tools Appl 74(17):6849-6869. doi:10.1007/s11042-014-1932-3 CrossRefGoogle Scholar
  5. 5.
    Kumar B, Singh HV, Singh SP, Mohan A (2011) Secure spread-Spectrum watermarking for telemedicine applications. J Inf Secur 2:91. doi:10.4236/jis.2011.22009
  6. 6.
    Lai CC, Tsai CC (2007) Digital image watermarking using discrete wavelet transform and singular value decomposition. IEEE T Instrum Meas 59(11):3060-3063. doi:10.1109/TIM.2010.2066770 CrossRefGoogle Scholar
  7. 7.
    Lei B, Tan E, Chen S, Ni D, Wang T, Lei H (2014) Reversible watermarking scheme for medical image based on differential evolution. Expert Syst Appl 41(7):3178-3188. doi:10.1016/j.eswa.2013.11.019 CrossRefGoogle Scholar
  8. 8.
    Liu G, Liu H, Kadir A (2012) Wavelet-based color pathological image watermark through dynamically adjusting the embedding intensity. Computational and Mathematical Methods in Medicine:2012. doi:10.1155/2012/406349
  9. 9.
    Menon NA, Chaudhry A, Ahmad M, Keerio ZA (2011) Hybrid watermarking of medical images for ROI authentication and recovery. Int J Comput Math 88(10):2057-2071. doi:10.1080/00207160.2010.543677 CrossRefGoogle Scholar
  10. 10.
    Naheed T, Usman I, Khan TM, Dar AH, Shafique MF (2014) Intelligent reversible watermarking technique in medical images using GA and PSO. Optik 125:2515-2525. doi:10.1016/j.ijleo.2013.10.124 CrossRefGoogle Scholar
  11. 11.
    Navas KA, Thampy SA, Sasikumar M (2008) EPR hiding in medical images for telemedicine. International journal of electrical, computer, energetic, electronic and communication. Engineering 2(2):223–226Google Scholar
  12. 12.
    Nyeem H, Boles W, Boyd C (2013) A review of medical image watermarking requirements for teleradiology. J Digit Imaging 26(2):326-343. doi:10.1007/s10278-012-9527-x CrossRefGoogle Scholar
  13. 13.
    Pandey R, Singh AK, Kumar B, Mohan A (2016) Iris based secure NROI multiple eye image watermarking for teleophthalmology. Multimed Tools Appl. doi:10.1007/s11042-016-3536-6 Google Scholar
  14. 14.
    Parah SA, Sheikh JA, Ahad F, Loan NA, Bhat GM (2015a) Information hiding in medical images: a robust medical image watermarking system for E-healthcare. Multimed Tools Appl:1-35. doi:10.1007/s11042-015-3127-y
  15. 15.
    Parah SA, Sheikh JA, Assad UI, Bhat GM (2015b) Hiding in encrypted images: a three tier security data hiding technique. Multidim Syst Sign P:1-24. doi:10.1007/s11045-015-0358-z
  16. 16.
    Pareek NK, Patidar V (2016) Medical image protection using genetic algorithm operations. Soft Comput 20:763-772. doi:10.1007/s00500-014-1539-7 CrossRefGoogle Scholar
  17. 17.
    Paunwala M, Patnaik S (2014) Biometric template protection with DCT-based watermarking. Mach Vision Appl 25:263-275. doi:10.1007/s00138-013-0533-x CrossRefGoogle Scholar
  18. 18.
    Pereira S, Voloshynovskiy S, Madueno M, Maillet S, Pun T (2001) Second generation benchmarking and application oriented evaluation. In Information Hiding Workshop, Lecture Notes in computer science 2137:340-353MATHGoogle Scholar
  19. 19.
    Singh AK (2016) Improved hybrid algorithm for robust and imperceptible multiple watermarking using digital images. Multimed Tools Appl.:2016. doi:10.1007/s11042-016-3514-z
  20. 20.
    Singh AK, Dave M, Mohan A (2014a) Wavelet based image watermarking: futuristic concepts in information security. Proceedings of National Academy of Science, India Section A: physical science 84(3):345-359. doi:10.1007/s11042-013-1375-2 CrossRefGoogle Scholar
  21. 21.
    Singh AK, Dave M, Mohan A (2014b) Hybrid technique for robust and imperceptible image watermarking in DWT-DCT-SVD domain. Natl. Acad. Sci Lett 37(4):351-358. doi:10.1007/s40009-014-0241-8 Google Scholar
  22. 22.
    Singh AK, Kumar B, Dave M, Mohan A (2015a) Robust and imperceptible dual watermarking for telemedicine applications. Wireless Pers Commun 80(4):1415-1433. doi:10.1007/s11277-014-2091-6 CrossRefGoogle Scholar
  23. 23.
    Singh AK, Dave M, Mohan A (2015b) Multilevel encrypted text watermarking on medical images using spread-spectrum in dwt domain. Wireless Pers Commun 83:2133-2150. doi:10.1007/s11277-015-2505-0 CrossRefGoogle Scholar
  24. 24.
    Singh AK, Dave M, Mohan A (2015) Hybrid technique for robust and imperceptible multiple watermarking using medical images. Multimed Tools Appl. 2015c. doi:10.1007/s11042-015-2754-7
  25. 25.
    Singh AK, Dave M, Mohan A (2015d) Robust and Secure Multiple Watermarking in Wavelet Domain. Journal of Medical Imaging and Health Informatics 5:406-414CrossRefGoogle Scholar
  26. 26.
    Singh AK, Kumar B, Dave M, Mohan A (2015e) Multiple Watermarking on Medical Images Using Selective Discrete Wavelet Transform Coefficients. Journal of Medical Imaging and Health Informatics 5:607-614CrossRefGoogle Scholar
  27. 27.
    Su Q, Niu Y, Zou H, Zhao Y, Yao T (2013a) A blind double color image watermarking algorithm based on QR decomposition. Multimed Tools Appl 72(1):987-1009. doi:10.1007/s11042-013-1653-z CrossRefGoogle Scholar
  28. 28.
    Su Q, Niu Y, Zou H, Zhao Y, Liu H (2013b) A blind dual color images watermarking based on singular value decomposition. Appl Math Comput 219(16):8455-8466. doi:10.1016/j.amc.2013.03.013 MathSciNetMATHGoogle Scholar
  29. 29.
    Su Q, Wang G, Jia S, Zhang X, Liu Q, Liu X (2013c) An embedding color image watermark in color image based on two-level DCT. Signal Image and Video Processing 9(5):991-1007. doi:10.1007/s11760-013-0534-2 CrossRefGoogle Scholar
  30. 30.
    Yadav N, Singh K (2015) Robust image-adaptive watermarking using an adjustable dynamic strength factor. Signal Image and Video Processing 9(7):1531-1542. doi:10.1007/s11760-013-0607-2 CrossRefGoogle Scholar
  31. 31.
    Zhang X, Kan L (2005) Comments on “An SVD-based watermarking scheme for protecting rightful ownership. IEEE T Multimedia 7(2):593-594CrossRefGoogle Scholar

Copyright information

© Springer Science+Business Media New York 2016

Authors and Affiliations

  1. 1.Electronics and Communication Engineering DepartmentMotilal Nehru National Institute of TechnologyAllahabadIndia

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